| name | visual-planning |
| description | ALWAYS use this skill FIRST, before producing or fetching ANY media asset — an image, video/GIF, chart, graph, diagram, infographic, SVG/icon, music, or speech/voiceover — and before any stock-photo search. It is the mandatory pre-generation gate. For a SINGLE asset it runs a short brief — clarify the ask → confirm style/design guidelines → pin the message → decide what's IN and OUT → draft the prompt/spec → review and tailor it → only THEN generate and verify. For a WHOLE deliverable you visually self-direct (a deck, doc, one-pager, pitch, whitepaper, case study, datasheet, landing page, report, or proposal that "should look good", "needs diagrams/visuals", or must "explain/sell visually") it FIRST plans the set — which concepts earn a visual, routes each by its JOB (explain/structure/numbers → diagram or chart via graph-generation; pure tone → real photo), binds them to ONE style — then loops the brief per asset. Fires on "generate/create/make an image|video|chart|diagram|infographic|logo|icon|song|voiceover", "find stock photos", "design a graphic", "make my deck/doc look good", "needs visuals". Skipping it is the |
Visual Planning
The pre-generation gate every media asset passes through. The engine skills know how to render; this skill makes sure you know what you're producing, why, in what style, and what must not be in it — before you spend a generation call. It works at two scopes:
- One asset (or a stock search) → run the brief (Mode A, the 7 steps).
- A whole deliverable where YOU decide the visuals → plan the set first (Mode B), then loop the brief over each planned asset.
Why this skill exists: Ugly output almost never comes from a weak engine. It comes from generating before intent, style, and constraints are pinned — so you get a beautiful image of the wrong thing, a chart in clashing colors, an "infographic" full of garbled AI text, or five abstract glowing renders where the doc needed diagrams. One minute here saves three regenerations.
First: which mode?
- The user named one specific asset ("draw an AWS diagram", "generate this image", "make a 10s loop") → Mode A.
- You're producing one self-directed asset → Mode A.
- You're producing a document/deck/page with multiple self-directed visuals ("make this pitch look good", "needs diagrams") → Mode B, then Mode A per asset.
The Iron Rule (applies in BOTH modes — read this first)
Decide every visual by the JOB it must do, not by how it would look:
- If its job is to EXPLAIN — how the product works, its structure/architecture, a process or lifecycle, a before/after, a data/access flow, or any numbers — it is a diagram or chart →
graph-generation (D3 / Mermaid / Draw.io). No exceptions, no matter how tempting a glossy render looks.
- If its job is purely to SET TONE — a cover/section header with no information to convey — it may be a photograph (preferred:
image-sourcing) or, as a last resort, a restrained illustration (image-generation).
AI image generation is NEVER used to explain anything. It produces decoration, not information. A "canonical model", a "fragmented → unified" story, an "agent architecture", a "governed access" flow are all explanations → diagrams, full stop.
Banned genre: abstract AI "tech slop"
These clichés look expensive and say nothing. Never generate them as explanatory product visuals:
- Glowing orbs / swirls / energy cores ("the platform"); glowing network-node spheres, cubes, or lattices ("the data / the graph")
- Holographic globes or continent maps with light arcs ("global / sovereign"); circuit-board cities or abstract "data highways"
- Shattered glass, floating documents, particle streams ("transformation"); anything navy-blue-with-gold-glow that could illustrate any tech company
If you catch yourself writing "glowing holographic representation of [concept], dark background, blue and gold, futuristic, abstract" — stop. That concept needs a diagram (graph-generation) or a real photo.
| If the visual contains… | It is a… | Route to |
|---|
| Boxes + arrows, components, services, vendor icons | Architecture / flow diagram | graph-generation (Draw.io / Mermaid) |
| Axes, bars, lines, points, percentages, numbers over time | Data chart | graph-generation (D3) |
| Steps, a process, a lifecycle, a decision tree | Flow / sequence / state | graph-generation (Mermaid) |
| A map, network, sankey, treemap, heatmap | Data-driven viz | graph-generation (D3) |
| Stats / timeline / "how it works" / comparison as one composed graphic | Infographic | read references/infographic-design.md, then graph-generation / svg-mastery |
| A photo of a person, place, product, or scene | Photograph | image-sourcing (real) or image-generation (custom) |
| An abstract background, texture, hero illustration | Illustration | image-generation |
| A small UI/process glyph or feature marker | Icon | icon-library |
| A custom logo-mark, animated badge, hand-tuned vector | Vector | svg-mastery |
Mode A — Brief one asset (the 7 steps)
1. Clarify the ask
Pin down, in one line, what artifact and its hard specs: type (→ which engine, see step 5); where it's used (slide, doc, web hero, social, avatar, print); format specs (aspect ratio/dimensions, resolution/DPI, file type; for video/music: duration & loop; for speech: voice, language, pacing); and how many (one, a variation set, or a consistent series). If something is genuinely ambiguous and changes the output, ask one focused question; otherwise pick the obvious default and state it.
2. Confirm style & design guidelines
Is there a direction to obey? Yes (brand, styleguide, an existing deck/site) → extract a style prefix: palette, mood, photography/illustration style, composition rules — and reuse it on every asset so the set is cohesive. No direction yet and it matters → create one via the styleguide skill first. For audio, the equivalent is genre/tempo/instrumentation/tone-of-voice.
3. Pin the message / intent
State the single thing the asset must make the viewer/listener understand or feel ("Adoption tripled this year"; "calm, trustworthy, premium"; "these are the 4 steps"). If you can't write it in one sentence, it isn't ready — or it's two assets. Everything else serves this sentence; cut what doesn't.
4. Decide what's IN and what's OUT
- IN — required subjects, elements, data points, labels, focal point.
- OUT — what must NOT appear. This is where quality is won:
- AI images/video:
no text, no watermark, no logos, no garbled UI, no extra fingers/limbs, no off-brand colors — and no real numbers/labels you need legible (that content belongs in a composed graphic).
- Diagrams/charts/infographics: no chartjunk, no 3-D, no legend if direct labels work.
- No "tech slop" (see the banned list above).
5. Route + draft the prompt/spec
Apply the Iron Rule to pick the engine, then draft using that engine's own craft skill — don't free-hand it:
| Artifact | Engine skill to draft + render with |
|---|
| AI image / illustration / background / mockup | image-generation (prompt via media-prompt-craft) |
| Real photo (people/places/products) | image-sourcing (stock query via media-prompt-craft) |
| Video / GIF / animated background | video-generation (prompt via media-prompt-craft) |
| Chart, graph, diagram, map, data viz | graph-generation (D3 / Mermaid / Draw.io) |
| Infographic (stats, timeline, how-it-works, comparison) | read references/infographic-design.md, then graph-generation / svg-mastery |
| Icon / glyph | icon-library (fetch, don't generate) |
| Custom vector / logo-mark / animated SVG | svg-mastery |
| Music / audio bed | music-generation |
| Speech / voiceover / narration | speech-generation |
Assemble the draft as [style prefix (step 2)] + [message/subjects (steps 3–4)] + [specs (step 1)] + [negatives (step 4)].
6. Review & tailor — BEFORE generating
Read the draft back against steps 1–4 and fix it on paper, not by regenerating: does it serve the one message? Is the style prefix present and consistent? Are all specs and the OUT list included? Legibility check — if the prompt relies on the AI rendering real text/numbers, stop and re-route that content to a composed graphic. For people/hands/products, prefer image-sourcing over generation.
7. Generate & verify
Invoke the engine / MCP tool, then look at the result against the brief: right message? on-style? legible? specs correct? If not, adjust the prompt (back to step 6) — don't just re-roll. If it's part of a series, lock the style prefix so the next asset matches.
Quick brief (state this before generating)
Brief: <artifact + specs> · Style: <prefix / "styleguide"> · Message: · In: <…> · Out: <…> · Engine:
Mode B — Plan a deliverable, then loop the brief
When you're self-directing the visuals for a whole document/deck/page, plan the set before briefing any single asset.
B1 — Understand the product
From the brief / company.md, extract in your own words: what it is (category, what it replaces), who buys it & why, how it works (3–7 core mechanics), proof (numbers worth showing), and the emotional beat the doc should leave. Don't draw yet.
B2 — Decide WHICH concepts deserve a visual
A visual earns its place only if it conveys something faster or more convincingly than a sentence. Good candidates, in priority order (the first four are explanatory → diagrams):
- How it works / fits — architecture or a 3-5 step flow → diagram
- Proof / traction — the number that matters → chart
- Before vs. after — pain vs. outcome → before/after diagram, not abstract art
- Concept / model — e.g. a "canonical model", an "access governance" flow → diagram
- Scannable structure — feature icons, not walls of text → icon-library
- Tone-setter (at most ONE) — a cover/hero whose only job is mood → real photo
Aim for 3-5 deliberate visuals over 12 random ones. If five "visuals" all turned out to be abstract glowing renders, you decorated instead of explained — re-plan, each explanatory concept becomes a diagram.
B3 — Choose the technique per concept
For each surviving concept, pick the form + engine via the Iron Rule table. Be specific about the form — "stacked bar of adoption by quarter", not "a chart".
B4 — Bind everything to ONE style
Lock a shared palette + style prefix (from brand, or the styleguide skill). One palette, one mood — applied to every D3 theme, Draw.io color, and image prompt. Match each visual's aspect ratio to its placement (pptx/docx list exact sizes).
B5 — Produce the Visual Plan, then loop
Write the table below (confirm with the user if the deliverable is large), then run Mode A on each row — style is already locked, so step 2 just inherits the shared prefix.
## Visual Plan — <deliverable>
**Style:** palette = <…>; mood = <…>; style prefix = "<…>"
| # | Concept to convey | Why it earns a visual | Technique (form) | Engine / skill | Placement & ratio |
|---|---|---|---|---|---|
| 1 | System architecture | Buyers must see it fits their stack | Architecture diagram w/ vendor icons | Draw.io (graph-generation) | full-width, 16:9 |
| 2 | Adoption growth | Proof of traction | Line chart, 6 quarters | D3 (graph-generation) | half-width, 4:3 |
| 3 | How it works | Simplify the pitch to 4 steps | Numbered horizontal flow | Mermaid (graph-generation) | full-width |
| 4 | Emotional hook | Set a modern, trustworthy tone | Hero photo, team/product | image-sourcing | banner, 3:1 |
| 5 | 6 key features | Make benefits scannable | Icon set, consistent stroke | icon-library | inline, 1:1 |
Gather all visuals before writing the document/deck generation code.
When the gate is light or skippable
- Mid-batch under a Mode B plan — steps 1–4 are decided for the set; per asset just draft → review → generate (steps 5–7).
- The user handed you an exact, final prompt and wants it verbatim — still do a 10-second legibility/negatives check (step 6), then generate.
- Editing an existing asset with no new creative intent (resize, convert, optimize an existing SVG) — no brief needed.
Cross-references
- media-prompt-craft — the prompt/stock-query syntax for image/video/photo (steps 5–6 for those engines).
- graph-generation — all charts, diagrams, architecture, maps, data viz (the destination for most explanatory rows).
references/infographic-design.md (bundled) — how to compose infographics (stats, timelines, how-it-works, comparisons): classification gate + design principles. Read it when a row routes to "infographic".
- image-sourcing — real photos (preferred for people/places/products).
- image-generation — custom illustrations, backgrounds, mockups (NEVER diagrams).
- icon-library — pre-made SVG icons (don't generate these).
- svg-mastery — hand-authored vector (illustration, isometric, logos/marks, patterns, type, custom layouts) and the QA layer that validates/renders any SVG before it ships.
- video-generation / music-generation / speech-generation — motion and audio engines invoked at step 7.
- styleguide (design-plugin) — derive the palette/mood when the product has no brand yet.
- pptx / docx (office-plugin) — consume the gathered visuals; see their image-sizing tables.